Real-Time Auction Data Scraper

@kchoudhary95

Being in the industry for over 7 years as a Full-Stack Web Developer, I have gained extensive experience that aligns closely with your project requirements. My skills in Data Processing, PHP, Web Development and particularly in Web Scraping have proven effective in creating fluid and efficient scripts. From your project description, I can comprehensively understand the importance of extracting only necessary data promptly without breaching website terms or compromising script performance. And this is where my proficiency in Python and libraries such as Selenium and Playwright comes to the fore. With a keen eye for optimization, I will ensure that the script I devise for you both maximizes runtime and minimizes resource usage to run continuously in long auctions without manual interruptions. Error handling being a fundamental need of any live-streaming setup, I guarantee inclusion of failsafe measures combating session expiry, connectivity issues or captchas. Lastly, my commitment to clear communication throughout the project remains unwavering. As evident from my spotless track record of completing 130+ successful projects with 5-star feedbacks, I prioritize understanding client goals—delivering solutions that add real value—all in a timely and cost-effective manner. Let's save your time by ensuring maximum results with minimum effort!

@raminde

Have over 18 years of experience in data mining/ Web scrapping/ Scraping Bots/ Chrome/Opera Extensions I have done it all. Tell us your source and we will put it in excel for you, Or we can even give you filtered results as per your requirement, In the format you want. You can also ask for data into a particular format - Excel, Json, Mysql, Databases, XMLs, you name them. Further Can help you with integrating it with ur databases, Can create json outputs. We are not only good with scraping but also with the tools that u may need after that. We can help you build you softwares round the data we have 99% Data Accuracy. We have Duplicate finder. etc., We can help with Statistics on the data We can help with creating Api's front the data We can create Softwares to manage that data We can build Sites round the data

@vishal1145

Your real-time scraping requirement will fail if you're polling the DOM every few seconds - auction sites push bid updates via WebSocket streams, and missing that architecture means you'll always be 2-3 seconds behind the actual bid. That latency compounds during rapid-fire bidding and you'll capture incomplete data. Before I architect the solution, I need clarity on two things. First, does this auction platform expose any developer APIs or documented WebSocket endpoints, or are we reverse-engineering their network traffic? Second, what's your tolerance for detection - are you running this once for a single auction analysis, or continuously across multiple events where anti-bot measures might trigger? Here's the technical approach: - WEBSOCKET INTERCEPTION: Use mitmproxy or Chrome DevTools Protocol to capture the live bid stream at the network layer, bypassing DOM parsing entirely. This cuts response time from 3 seconds to under 100ms. - PYTHON + OPENPYXL: Stream bid data directly into Excel using openpyxl's write-only mode to avoid memory bloat during 3+ hour sessions. I'll implement a circular buffer so the file doesn't exceed 50MB even with 10K bids. - SELENIUM FALLBACK: If WebSocket capture isn't viable, I'll use Selenium with headless Chrome and MutationObserver to detect DOM changes the instant they render, not on a polling interval. - ERROR RECOVERY: Build automatic session refresh on 401/403 responses, CAPTCHA detection with Pushover alerts to your phone, and SQLite backup so no bid data is lost if Excel crashes mid-auction. - ADAPTIVE SELECTORS: I'll map the site's CSS selectors to a JSON config file so you can update targeting without touching code when they redesign their UI. I've built similar real-time scrapers for 4 clients tracking stock tickers and sports betting odds where sub-second accuracy was non-negotiable. The difference between polling and stream interception is the difference between useful data and garbage. Let's schedule a 15-minute call to confirm the auction platform and review their network traffic together - I don't start builds until I've verified the data source is stable.

@webmasters486

Hi there, I’ve reviewed your project and understand you need a reliable script that captures every live bid event from an online auction platform and streams the bidder name and current bid price directly into Excel in near real time. The goal is to monitor bidding activity between the L1 and H1 price range and track which parties are bidding at which prices along with their latest bid. I can develop a lightweight Python solution using Playwright or Selenium, combined with WebSocket or network interception when available, to capture dynamic updates accurately. The script will push each bid event into Excel instantly while avoiding duplicate entries and ensuring stable performance during long auctions. I’ll also implement error handling for session expiry, connection drops, and potential captcha interruptions so the script can run continuously for hours. You’ll receive clean, well commented source code, a Windows setup guide, a test Excel workbook with live data population, and a short README explaining how to adjust the scraper if the site layout changes. The focus will be reliability, efficiency, and maintainable code for long term use. Best regards, Muhammad Adil Portfolio: https://www.freelancer.com/u/webmasters486

@ixorawebmob

Hello, I’ve gone through your project details, and this is something I can definitely help you with. With over 10 years of experience in web scraping and data processing, I have developed robust solutions that effectively capture and manage real-time data events. I specialize in using Python with Selenium and other advanced techniques to ensure seamless integration and data extraction, perfect for your real-time auction needs. I will develop a lightweight script that captures live bid events, automatically populating an Excel file with the current bid price and bidder’s name. I'll ensure that the solution includes comprehensive error handling for session issues, connection drops, and captchas while keeping resource usage low for prolonged operation. Here is my portfolio: https://www.freelancer.in/u/ixorawebmob I’m interested in your project and would love to understand more details to ensure the best approach. What specific online-auction platform are you targeting for this scraper? Let’s discuss over chat! Regards, Arpit Jaiswal

@ganeshrasekar

I can do it

@Khelifa90

Hello, i can develop a robust real-time scraper using websocket if the site uses them (most likely) with python, contact me to discuss more project details, thanks

@mayankinnovative

Hi, As per my understanding: You need a lightweight Python-based script that monitors a live online auction and captures each bid event in near real time. For every bid, the script should extract only the bid price and bidder name, then automatically append the data into an Excel workbook while the auction is running. The solution must handle dynamic website content, maintain accurate bid tracking within the L1–H1 price range, avoid duplicate or missing entries, and run reliably for several hours with proper handling of session expiry, connection drops, or captchas. Implementation approach: I will analyze how the auction site loads live bids (DOM updates, WebSocket traffic, or API calls). Based on this, I will implement a Python solution using Playwright/Selenium for dynamic capture or WebSocket/API interception for faster updates. The script will monitor new bid events, validate them, and stream the bidder name and price directly into an Excel file using libraries such as openpyxl or pandas. Error handling, reconnection logic, and low resource usage will be built in so the script can run continuously during long auctions. I will also provide clear, well-commented code, a Windows setup guide, and a sample Excel workbook demonstrating live data population. A few quick questions: Do you have a sample auction page URL for testing the bid events? Does the site require login before viewing live bids? Should the Excel sheet also record timestamps for each bid event?

@mutahrar

Hello, I can build a lightweight, real-time Python solution that captures every live bid event from your auction platform and streams it directly into Excel. The script will focus only on the two fields you need current bid price and bidder name while tracking the last bid of each party within your specified price range (L1–H1). I will use Selenium or Playwright to handle dynamic content reliably, with optional WebSocket/API interception if the platform exposes one, ensuring near-instant updates without overloading resources. The script will include robust error handling for session timeouts, connection drops, and potential captchas, allowing it to run continuously for multiple hours. Excel updates will happen automatically via openpyxl or xlwings, so each new bid appears as a new row in real time, and duplicates are avoided. Full deliverables include fully commented Python source code, a step-by-step Windows setup guide, a sample Excel workbook populated during a test run, and instructions for adapting the scraper if the site layout changes. Regards, Mutahra

@prashanpatel557

Hello, I can build a real-time auction data scraper that captures bid events and streams them directly into Excel with minimal delay. Approach: 1. Data Capture Use Playwright or Selenium to connect to the auction platform and monitor live bid updates. If the site uses WebSockets or internal APIs, I will intercept those requests for faster and more stable data capture. 2. Event Processing Each bid event will extract: • Bid price • Bidder (party) name Track the last bid price per bidder within the L1–H1 price range. 3. Excel Streaming Use openpyxl or xlwings to push new rows into Excel in near real time. Each new bid will automatically appear as a new row with timestamp, price, and bidder. 4. Stability & Error Handling Auto-reconnect if the session expires or connection drops. Retry logic for dynamic page updates and captcha detection. Optimized script to run continuously for long auction sessions. Deliverables: • Fully commented Python script • Excel workbook that updates live during auctions • Windows setup guide and dependencies list • README explaining how to adjust the scraper if the site layout changes The system will capture bids within a few seconds and run reliably for extended sessions.

@ahmetTC

Hope you are doing well! Lets start! Auction sites often load bids via dynamic JavaScript, WebSockets, or protected APIs, which can cause missed events, captchas, or session drops during long monitoring periods. Extensive experience building real-time Python data collectors using Playwright, Selenium, and WebSocket interception ensures stable capture of live bid events with minimal latency and low resource usage. Previous live-stream scraping projects captured financial ticks and marketplace bids directly into Excel using openpyxl and streaming buffers to avoid duplicates while maintaining near-instant updates. Challenges such as dynamic DOM updates, hidden API calls, and session expiry were resolved through network inspection, resilient retry logic, heartbeat monitoring, and automated session refresh handling. Deliverables typically include fully commented Python scripts, a Windows setup guide, a live-updating Excel workbook, and a concise README explaining how to adapt selectors if the site layout changes. Clean architecture ensures continuous operation for hours while logging bidder names, prices, and last bid levels within the defined range. Clear, maintainable structure keeps future adjustments simple if auction behaviour evolves. I know what do I build for you, can complete it to your full satisfaction within your timeline. I am ready for you and waiting here. Thank you.

@Fahadghouri7

hello, i'm fahad ghouri I can build a lightweight Python-based also use AGENTIC SYSTEM solution to capture live bid events from the auction platform and stream them into Excel in near real time. For this kind of dynamic site, I’d choose the most stable method after inspection — Playwright/Selenium for rendered content or direct WebSocket/API interception if available — so the script remains accurate, fast, and efficient during long auction sessions. The output can be structured exactly around your need: bid price, bidder name, and each party’s latest bid within the L1–H1 range, written automatically into Excel with no duplicate or missed entries. I’ll also include proper handling for session expiry, reconnects, and long-running stability so it can operate for hours without supervision. You’ll receive fully commented source code, Windows setup steps, a sample Excel workbook with live population, and a short guide for future layout changes. My focus will be maintainable code and reliable real-time capture, not a fragile quick script.

@loxtic

Hello, I have considerable experience with automated web scraping, web automation , on hard to scrape or complicated flows as well, requiring login or sites having anti bot detection . Let me know further information if interested

@AdityaNarayan26

Hi there, I am a backend developer based here in India (Delhi), and I specialize in high-frequency data extraction. Building a script that captures real-time bids and runs flawlessly for 3+ hours requires a very specific architectural approach. While others will propose Selenium, automating a full browser is heavy, slow, and prone to breaking. Here is my strategy to build a lightweight, enterprise-grade solution: WebSocket/API Interception: Instead of "reading the screen," I will reverse-engineer the auction site's network traffic using Python. By intercepting the raw JSON feed, the script will capture the exact bid price and party name in milliseconds, bypassing UI captchas and using 90% less RAM. Live Excel Streaming: I will use the xlwings library. This allows the script to inject new rows directly into an actively open Excel workbook in real-time, calculating the L1/H1 range dynamically. Bulletproof Stability: I will implement a custom deduplication hash (to prevent double-logging if the network stutters) and auto-reconnect logic to handle session drops, ensuring the script runs unattended for hours. Proposed Milestones (Total: ₹25,000 INR): ₹10,000: Network reverse-engineering and core WebSocket/API extraction script. ₹10,000: Live Excel integration, L1/H1 tracking, and deduplication logic. ₹5,000: 3-hour stress testing, Windows setup guide, and README delivery. Please share the auction website URL in the chat so I can inspect their network payload right now!

@aliyanali786

Hi, do you currently access the auction through a logged-in account, and will the script run while the session remains active? I would love to build a lightweight Python script that captures live bid events from your auction platform and streams bid price and bidder name directly into Excel in near-real-time for instant analysis. I will build a Python script using Playwright or Selenium to monitor the auction page, capture each bid event, extract the bid price and bidder name, and stream the data to Excel in real time while preventing duplicates and handling session drops or captchas. I recommend using WebSocket or API interception when available, as it enables faster, more reliable real-time data capture than standard page scraping. Let’s connect for further discussion on chat. Best regards, Aliyan